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25 pages, 13204 KiB  
Article
Mechanical Properties of Asymmetric Woven Bamboo Structure from Bamboo Strips
by Ekkarin Phongphinittana, Navapon Klangtup and Petch Jearanaisilawong
Fibers 2025, 13(2), 18; https://doi.org/10.3390/fib13020018 - 9 Feb 2025
Viewed by 480
Abstract
The study evaluates the mechanical properties of a woven bamboo structure made from bamboo strips using an analytical relation and finite element simulation. The bamboo studied is a recently discovered species, Bambusa Nghiana, characterized by long internodes. Bamboo strips have lower strength at [...] Read more.
The study evaluates the mechanical properties of a woven bamboo structure made from bamboo strips using an analytical relation and finite element simulation. The bamboo studied is a recently discovered species, Bambusa Nghiana, characterized by long internodes. Bamboo strips have lower strength at the node junctions, a feature that can be advantageous for this species due to its extended internode length. Plain weave bamboo structures were handwoven from thin, rectangular bamboo strips cut from the bamboo culm along the radial direction. The high bending rigidity of the bamboo strips resulted in an asymmetric woven structure with curved warp strips and straight weft strips. The stiffness of the woven structure was correlated with the stiffness of the bamboo strips and the weave geometry. The in-plane shear resistance of the woven structure was significantly lower than its axial stiffness due to the asymmetric weaving. These in-plane properties were validated using finite element simulation through a user subroutine incorporating the woven structure and the Hashin damage criteria. The prediction of the puncture simulation showed good agreement with the corresponding experiment. These results confirm the proposed analytical relation between the mechanical properties of individual bamboo strips and those of the woven structure. Full article
(This article belongs to the Special Issue Natural Fibers for Advanced Materials: Addressing Challenges)
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Figure 1
<p>Cutting position of bamboo culm and characteristics of bamboo strips.</p>
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<p>Bamboo strips for uniaxial test.</p>
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<p>Woven bamboo sheet for uniaxial tensile test.</p>
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<p>Stiffness series of woven bamboo.</p>
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<p>Cross-section of the weave pattern. (<b>a</b>) Warp strip; (<b>b</b>) Weft strip.</p>
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<p>Schematics of woven region stiffness. (<b>a</b>) Warp direction; (<b>b</b>) Weft direction.</p>
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<p>Schematics of the half crimp-to-crimp length. (<b>a</b>) Woven region; (<b>b</b>) Radius of curvature in the first section (<math display="inline"><semantics> <mrow> <msub> <mi>θ</mi> <mrow> <mn>0</mn> <mo>→</mo> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>), and (<b>c</b>) Stiffness of the woven region.</p>
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<p>Woven bamboo-plain for frame shear and puncture test.</p>
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<p>Schematics of a picture frame shear test. (<b>a</b>) Positions and distances for placing a sample; (<b>b</b>) Arrangement of the sample on the fixture.</p>
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<p>Schematic of a puncture test.</p>
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<p>Part definition for the simulations of the in-plane tests. (<b>a</b>) Regions of the sample: (1) woven; (2) strip-only; (<b>b</b>) Orientation of the strips: (1) warp; (2) weft.</p>
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<p>Schematics of puncture test simulation.</p>
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<p>Tensile test results of bamboo strips. (<b>a</b>) Force–extension curve; (<b>b</b>) Stress–strain curve.</p>
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<p>Progressive damage in a bamboo strip sample under uniaxial tensile loading.</p>
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<p>Force–extension curve of woven bamboo sheet. (<b>a</b>) Warp direction; (<b>b</b>) Weft direction.</p>
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<p>Stress–strain curve of woven bamboo sheet. (<b>a</b>) Warp direction; (<b>b</b>) Weft direction.</p>
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<p>Damage of woven bamboo sheet due to fiber breakage highlighted in the circles (<b>a</b>) Warp direction; (<b>b</b>) Weft direction.</p>
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<p>Results of the picture frame shear test.</p>
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<p>Picture frame shear behavior of woven sheet. (<b>a</b>) Before testing; (<b>b</b>) After testing, and (<b>c</b>) Twisting arm of the woven bamboo strips.</p>
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<p>Energy–displacement curve of the puncture test.</p>
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<p>Damage from puncture test of woven bamboo sheet. (<b>a</b>) Front; (<b>b</b>) Rear.</p>
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<p>Responses of the simulations compared with the experiments of uniaxial bamboo strips. (<b>a</b>) Force–Displacement; (<b>b</b>) Stress–Strain.</p>
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<p>Force–extension responses of the simulations compared with the experiments of woven bamboo. (<b>a</b>) Warp; (<b>b</b>) Weft.</p>
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<p>Stress–strain responses of the simulations compared with the experiments of woven bamboo. (<b>a</b>) Warp; (<b>b</b>) Weft.</p>
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<p>Comparison of the simulations with the experiments of picture frame shear. (<b>a</b>) Shear force—angle; (<b>b</b>) Shear stress—shear strain.</p>
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<p>Simulation result of the puncture test compared to the experimental data.</p>
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<p>Deformation of a woven bamboo sheet. The red lines indicate the fiber orientation, and the green lines represents the boundary of the woven bamboo.</p>
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17 pages, 9648 KiB  
Article
Effects of the Rate Dependency of a Matrix Material on the Tensile Response of Plain Weave Carbon Fabric Reinforced Epoxy Composites
by Taeseong Choi and Wooseok Ji
J. Compos. Sci. 2025, 9(1), 29; https://doi.org/10.3390/jcs9010029 - 9 Jan 2025
Viewed by 508
Abstract
Textile composites are extensively used in structures subjected to both static and dynamic loads. However, research on how loading rates influence performance remains limited. A better understanding of how the rate dependency of matrix materials affects the mechanical behavior of textile composites could [...] Read more.
Textile composites are extensively used in structures subjected to both static and dynamic loads. However, research on how loading rates influence performance remains limited. A better understanding of how the rate dependency of matrix materials affects the mechanical behavior of textile composites could facilitate more accurate performance predictions and the efficient selection of components based on loading rates. This study investigates the effect of the rate dependency of epoxy on the overall rate dependency of a plain weave carbon fabric-reinforced epoxy composite. Specimens were prepared using only epoxy resin, and tensile tests were conducted at four loading rates (5 mm/min, 50 mm/min, 200 mm/min, and 800 mm/min) to evaluate changes in the tensile properties of epoxy with varying loading rates. Composite specimens were fabricated using the same epoxy, and tensile tests were performed under identical conditions. The results demonstrated that both materials became more brittle at higher loading rates while their stiffness remained largely unaffected. Furthermore, the failure process of the composite at different loading rates was analyzed through micro-scale finite element analysis. The analysis revealed that the onset of failure in textile composites shifted owing to the rate-dependent brittleness of epoxy. To mitigate the high computational cost of explicit simulations accounting for time dependency, a modified Johnson–Cook model and an acceleration model were newly developed and incorporated into the analysis. Full article
(This article belongs to the Section Composites Modelling and Characterization)
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<p>Configuration of the specimen.</p>
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<p>(<b>a</b>) Tensile test setup and (<b>b</b>) DIC setup for composite at S800.</p>
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<p>Cross-section image of the composite before the tensile test.</p>
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<p>Geometry model of FEA for composite.</p>
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<p>Boundary conditions of the FEA for composite.</p>
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<p>Stress–strain curve representing damage evolution mechanisms.</p>
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<p>Representative tensile strain–tensile stress curves of the epoxy at different loading rates.</p>
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<p>Tensile material properties of the epoxy at different loading rates: (<b>a</b>) strength, (<b>b</b>) elongation, and (<b>c</b>) modulus.</p>
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<p>Fracture surface of the epoxy at loading rates of (<b>a</b>) 5 mm/min, (<b>b</b>) 50 mm/min, (<b>c</b>) 200 mm/min, and (<b>d</b>) 800 mm/min.</p>
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<p>Representative tensile strain–tensile stress curves of composites at different loading rates.</p>
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<p>Tensile material properties of the composite at different loading rates: (<b>a</b>) strength, (<b>b</b>) elongation, and (<b>c</b>) modulus.</p>
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<p>(<b>a</b>) Schematic of the field of view, (<b>b</b>) fracture surface of the composite at S5, and (<b>c</b>) fracture surface of the composite at S800.</p>
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<p>Fracture surface of the composite: (<b>a</b>) weft tow at S5, (<b>b</b>) warp tow at S5, (<b>c</b>) weft tow at S800, and (<b>d</b>) warp tow at S800.</p>
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<p>(<b>a</b>) Equivalent plastic strain rate–equivalent plastic strain curve (<b>b</b>) <span class="html-italic">D</span><sub>2</sub> fitting curve.</p>
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<p>Boundary conditions of single-element simulation for the epoxy.</p>
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<p>Stress–strain curve of single-element simulation for the epoxy.</p>
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<p>Stress–strain curves of composite in the FEA.</p>
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<p>Progressive failure pattern of composite.</p>
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16 pages, 12567 KiB  
Article
A Novel-Potential Wave-Bump Yarn of Plain Weave Fabric for Fog Harvesting
by Luc The Nguyen, Luu Hoang, Le Thuy Hang and Jiansheng Guo
Molecules 2024, 29(21), 4978; https://doi.org/10.3390/molecules29214978 - 22 Oct 2024
Viewed by 975
Abstract
With the variety of fibers and fabrics, the studies of the surface structure of the textile yarns, the weave fabric, and their surface wettability are still potential factors to improve and optimize the fog harvesting efficiency. In this work, inspired by the fog [...] Read more.
With the variety of fibers and fabrics, the studies of the surface structure of the textile yarns, the weave fabric, and their surface wettability are still potential factors to improve and optimize the fog harvesting efficiency. In this work, inspired by the fog harvesting behavior of the desert beetle dorsal surface, a wavy–bumpy structure of post-weave yarn (obtained from woven fabric) was reported to improve large droplet growth (converge) efficiency. In which, this study used tetrabutyl titanate (Ti(OC4H9)4) to waterproof, increase hydrophobicity, and stabilize the surface of yarns and fabric (inspired by the feather structure and lotus leaf surface). Moreover, PDMS oil was used (lubricated) to increase hydrophobicity and droplet shedding on the yarns (inspired by the slippery surface of the pitcher plant) and at the same time, enhance the fog harvesting efficiency of the warp yarn woven fabric (Warp@fabric). In addition, a three-dimensional adjacent yarn structure was arranged by two non-parallel fabric layers. The yarns of the inner and outer layers were intersected at an angle decreasing to zero (mimicking the water transport behavior of Shorebird’s beaks). This method helped large droplets quickly form and shed down easily. More than expected, the changes in fabric texture and fiber surface yielded an excellent result. The OBLWB-Warp@fabric’s water harvesting rate was about 700% higher than that of the original plain weave fabric (Original@fabric). OBLWB-Warp@fabric’s water harvesting rate was about 160% higher than that of Original–Warp@fabric. This shows the great practical application potential of woven fabrics with a low cost and large scale, or you can make use of textile wastes to collect fog, suitable for the current circular economy model. This study hopes to further enrich the materials used for fog harvesting. Full article
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<p>The preparation of the original woven fabric sample and the weave-modified fabric samples by varying the warp and weft ratio. (<b>a</b>) Warp@fabric. (<b>b</b>) Warp1@fabric. (<b>c</b>) Weft@fabric. (<b>d</b>) Sparse@fabric. (<b>e</b>) Original@fabric.</p>
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<p>Illustrated procedure for preparing modified warp fabric samples. (<b>a</b>) Original@fabric. (<b>b</b>) Warp@fabric. (<b>c</b>) Actual sample of Warp@fabric. (<b>d</b>) Mixed solution after Sol–Gel tetrabutyl titanate process (mixture solution A). (<b>e</b>) PDMS oil. (<b>f</b>) OBWB@fabric. (<b>g</b>) OBLWB-Warp@fabric. (<b>h</b>) OBWB-Warp@fabric. (<b>i</b>) BWB-Warp@fabric.</p>
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<p>SEM images of original and modified yarns: (<b>a</b>) original yarn, LWB yarn, BWB yarn; (<b>b</b>) OBWB yarn; (<b>c</b>) OBLWB yarn.</p>
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<p>FTIR spectra of PET fabrics and PET filaments before and after modification: original PET yarn/OBW yarn and OBLW yarn.</p>
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<p>(<b>a</b>), (<b>a1</b>) The droplet shape and water contact angle on the surface of OBWB@fabric (before water immersion and after immersion, respectively); (<b>a2</b>) the SEM image of the OBWB@fabric surface; (<b>a3</b>) the illustration of the surface structure of OBWB@fabric. (<b>b</b>), (<b>b1</b>) The droplet shape and water contact angle on the surface of Original@fabric (before immersion and after immersion, respectively); (<b>b2</b>) the SEM image of the Original@fabric surface and surface structure of feathers; (<b>b3</b>) the illustration of the surface texture of Original@fabric.</p>
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<p>Hydrophobic droplet morphology and self-cleaning characterization on OBWB@fabric surface.</p>
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<p>(<b>a</b>,<b>a1</b>,<b>a2</b>,<b>a3</b>) Droplet morphology on Original@fabric, Sparse@fabric, Weft@fabric, and Warp@fabric fabric surfaces, respectively. (<b>b</b>,<b>b1</b>,<b>b2</b>) The description of the fog stream that interacts with the fabrics Original@fabric, Sparse@fabric, Weft@fabric, and Warp@fabric, respectively. (<b>c</b>) The water harvesting rate of the fabrics: Original@fabric (A), Sparse@fabric (B), Weft@fabric (C), Warp1@fabric (D), and Warp@fabric (E).</p>
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<p>Droplet formation process—droplet behavior on the surface of 4 wave-bump yarns/fabrics at different times: (<b>a</b>) OBWB yarn/OBWB-Warp@fabric, (<b>b</b>) OBLWB yarn/OBLWB-Warp@fabric, (<b>c</b>) BWB yarn/BWB-Warp@fabric, (<b>d</b>) LBW yarn/Original–Warp@fabric.</p>
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<p>The illustration of droplet behavior on the surface of 4 fibers: (<b>a</b>) OBWB yarn, (<b>b</b>) OBLWB yarn, (<b>c</b>) BWB yarn and (<b>d</b>) LBW yarn. (<span class="html-italic">F<sub>l</sub></span>) is the driving force generated by the shape gradient that propels a liquid drop towards the region with a larger curvature radius. (<span class="html-italic">F<sub>c</sub></span>) is the driving force generated by the surface wettability gradient that propels liquid droplets towards the wetter region. (<span class="html-italic">F<sub>wc</sub></span>) is the driving force generated by the surface wettability gradient that propels liquid droplets towards the wetter region of water. (<span class="html-italic">F<sub>u</sub></span>) is the driving force generated by a surface lubricant. (<span class="html-italic">G</span>) is the force of gravity.</p>
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<p>Water harvest rates of all modified fabric and original fabric samples. Meanwhile, A, B, C, D, E, E1, E2, E3, E4, and E5 are Original@fabric, Sparse@fabric, Weft@fabric, Warp@fabric (Original–Warp@fabric), BWB-Warp@fabric, OBWB-Warp@fabric, OBLWB-Warp@fabric, double-layer OBLWB-Warp@fabric (parallel), and double-layer OBLWB-Warp@fabric (non-parallel), respectively.</p>
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<p>Simulation and illustration of droplet behavior on adjacent filaments and large droplet convergence on adjacent filaments arranged in three dimensions. Adjacent yarns were arranged as follows: (<b>a</b>) 1D-single yarn; (<b>b</b>) 2D-two yarn (parallel) and 2D-three yarn (parallel); (<b>c</b>) 3D-three yarn (parallel) and 3D-four yarn (parallel); (<b>d</b>) 3D-three yarn (non-parallel) and 3D-four yarn (non-parallel). And (<b>e</b>) Force analysis of water droplets between two adjacent filaments (F<sub>drive</sub>).</p>
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<p>(<b>a</b>,<b>b</b>) Droplet converging on yarn filament, 2 adjacent yarns, 3 adjacent yarns, and 4 adjacent yarns in 3D on double-layer OBLWB-Warp@fabric and double-layer Vertical Filament Mesh (VFM); angle of inclination between inner and outer fabric layer is α.</p>
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22 pages, 14378 KiB  
Article
Permeability Measurement of Glass-Fiber Textiles Used in Composites Industry Using Radial Flow Experimental Setup and Comparison with Image-Based Numerical Methods
by Mouadh Boubaker, Willsen Wijaya, Arthur Cantarel, Gérald Debenest and Simon Bickerton
Sci 2024, 6(3), 49; https://doi.org/10.3390/sci6030049 - 26 Aug 2024
Viewed by 1194
Abstract
Permeability measurement of engineering textiles is a key step in preparing composite manufacturing processes. A radial flow experimental setup was used in this work to measure the unsaturated and saturated in-plane permeabilities of five different types of E-glass textiles and their ratios. In [...] Read more.
Permeability measurement of engineering textiles is a key step in preparing composite manufacturing processes. A radial flow experimental setup was used in this work to measure the unsaturated and saturated in-plane permeabilities of five different types of E-glass textiles and their ratios. In parallel, delayed tow saturation during the oil injection stage was visually observed to identify fabrics that exhibited a significant dual-scale effect. A numerical approach to determine the saturated permeability of a given fabric geometry at the mesoscale was tested and validated against analytical models found in the literature. It was then applied to a realistic geometry acquired from an E-glass plain weave textile using an X-ray microtomography scanner (μCT). Two numerical methods were adopted: the single-scale method, where the tows are considered impermeable, and the dual-scale method, where the permeability of the tows is taken into account. The numerical results from both methods were then compared with the experimental values and showed good agreement, especially with the second method. Full article
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<p>Modeling scales.</p>
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<p>List of the used textiles.</p>
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<p>Schematic representation of the experimental facility [<a href="#B14-sci-06-00049" class="html-bibr">14</a>].</p>
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<p>Upper and lower plates of the experimental facility.</p>
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<p>2D radial flow experimental setup.</p>
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<p>Sample preparation.</p>
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<p>A sample of four circular layers placed on the lower plate of the experimental setup.</p>
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<p>Viscosity of Mobil heavy mineral oil as a function of temperature.</p>
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<p>Flow front progression.</p>
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<p>Image processing algorithm steps: (<b>a</b>) Original grayscale image, (<b>b</b>) Image after geometric transformation, (<b>c</b>) Binary image after subtraction, (<b>d</b>) Image with ellipse fitting.</p>
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<p>Output of the post-processing MATLAB algorithm.</p>
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<p>Comparison with the results obtained by W. Wijaya [<a href="#B14-sci-06-00049" class="html-bibr">14</a>].</p>
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<p>Comparison with the results obtained by W. Wijaya [<a href="#B14-sci-06-00049" class="html-bibr">14</a>].</p>
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<p>Oil flow fronts with visible dual-scale effect.</p>
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<p>Compact oil flow fronts.</p>
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<p>Simulation of flow around a square array of cylinders.</p>
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<p>Analytical models vs numerical simulation using OpenFoam for transversal flow in a square array of fibers.</p>
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<p>Simulation of flow around a hexagonal array of cylinders.</p>
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<p>Simulation of flow around a hexagonal array of cylinders.</p>
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<p>Analytical models vs numerical simulation using OpenFoam for transversal flow in a hexagonal array of fibers.</p>
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<p>3D grayscale tomography reconstruction of the scanned sample.</p>
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<p>3D geometry of the textile used for the numerical simulation.</p>
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<p>Inter-tow space.</p>
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<p>Boundary conditions for numerical permeability determination.</p>
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<p>Comparison between numerical and experimental values.</p>
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<p>Geometry used in the dual-scale case.</p>
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<p>Comparison between numerical simulation results and experimental values considering dual-scale flow.</p>
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16 pages, 8936 KiB  
Article
Novel Collagen-Based Emulsions Embedded with Palmarosa Essential Oil, and Chamomile and Calendula Tinctures, for Skin-Friendly Textile Materials
by Laura Chirilă, Miruna S. Stan, Sabina Olaru, Alina Popescu, Mihaela-Cristina Lite, Doina Toma and Ionela C. Voinea
Materials 2024, 17(15), 3867; https://doi.org/10.3390/ma17153867 - 5 Aug 2024
Cited by 1 | Viewed by 1448
Abstract
Skin-friendly textile materials were obtained by applying oil-in-water emulsions based on palmarosa essential oil, chamomile, and calendula tinctures onto cotton fabrics. Different formulations based on these bioactive principles incorporated in collagen as polymeric matrices were prepared and immobilized on a plain weave textile [...] Read more.
Skin-friendly textile materials were obtained by applying oil-in-water emulsions based on palmarosa essential oil, chamomile, and calendula tinctures onto cotton fabrics. Different formulations based on these bioactive principles incorporated in collagen as polymeric matrices were prepared and immobilized on a plain weave textile structure from 100% cotton. The functionalized textile materials were characterized in terms of physicochemical, mechanical, antibacterial, and biocompatibility points of view. The pH values of the prepared emulsions were in the range of 4.81–5.23 and showed no significant differences after 4 h of storage. Moreover, the addition of a higher quantity of active principles (palmarosa essential oil and plant tinctures) caused slightly lower values of acidic pH. The electrical conductivity of the obtained emulsions increased with the decrease in the oil phases in the system. The highest values were obtained for the emulsion developed with the smallest volume fraction of active principle—palmarosa essential oil and plant tinctures. The emulsion that contained the least amount of collagen and the highest number of active principles exhibited the lowest stability. The textile materials treated with synthesized emulsions exerted antibacterial effects against S. aureus and E. coli strains and did not affect keratinocyte growth, spreading, and organization, highlighting the biocompatibility of these developed skin-friendly textiles. Full article
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<p>Variation in time of the creaming index values for the emulsions containing palmarosa essential oil and plant tinctures.</p>
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<p>Representative images of Petri dishes revealing the antibacterial effect against (<b>a</b>) <span class="html-italic">E. coli</span> and (<b>b</b>) <span class="html-italic">S. aureus</span> strains, after 24 h in the presence of emulsion-treated fabrics.</p>
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<p>Fluorescence images of Live and Dead staining of human keratinocytes (HaCaT cells) grown for 24 h in the presence of extracts from emulsion-treated fabrics (R1–R6) or untreated fabrics (C). Live cells are shown in green (after staining with calcein AM solution) and dead cells are presented in red (labeled with propidium iodide solution). In parallel, cells without any fabrics were analyzed. All images were obtained with 20× objective.</p>
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<p>Organization of actin filaments (labeled in red with phalloidin-iFluor 555 reagent) in human keratinocytes (HaCaT cells) after 24 h of incubation in direct contact with emulsion-treated fabrics (R1–R6) or untreated fabrics (C). In parallel, cells without any fabrics were analyzed.</p>
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<p>Biocompatibility in terms of cell viability, nitric oxide level, and lactate (LDH) dehydrogenase evaluated on human keratinocytes (HaCaT cells) after 24 h of growth: (<b>a</b>) in the presence of fabrics extracts, and (<b>b</b>) in direct contact with the emulsion-treated fabrics. Data are calculated as mean ± standard deviation (<span class="html-italic">n</span> = 3) and normalized to HaCaT cells grown: (<b>a</b>) in the presence of extracts from untreated fabric (C—control), (<b>b</b>) in direct contact with untreated fabric (C). No significance was obtained after statistical analysis was performed between fabric extracts. * <span class="html-italic">p</span> &lt; 0.5 compared to untreated fabrics (C).</p>
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25 pages, 9481 KiB  
Article
A New Method for Evaluating the Homogeneity within and between Weave Repeats in Plain Fabric Structures Using Computer Image Analysis
by Magdalena Owczarek
Materials 2024, 17(13), 3229; https://doi.org/10.3390/ma17133229 - 1 Jul 2024
Viewed by 833
Abstract
This article introduces a novel, rapid, and non-destructive method for assessing homogeneity within and between weave repeats in fabric structures, termed intra-repeat (IAR) and inter-repeat (IER) evaluation. The method focuses on structural parameters, including inter-thread pores (ITPs) and warp and weft pitches, using [...] Read more.
This article introduces a novel, rapid, and non-destructive method for assessing homogeneity within and between weave repeats in fabric structures, termed intra-repeat (IAR) and inter-repeat (IER) evaluation. The method focuses on structural parameters, including inter-thread pores (ITPs) and warp and weft pitches, using computer image analysis. Each parameter is assigned to a module in the repeat weave pattern, facilitating the sorting of modules in the IAR and IER fabric structure arrangement. The method was verified using artificial images and 30 real plain fabrics with varying degrees of warp grouping, employing the author’s proprietary software, MagFABRIC version 2.1The general measurable coefficients of intra- and inter-homogeneity were defined and related to the airflow measurements of these fabrics. Multiple regression models of airflow revealed strong dependencies, particularly for F = 10, with the size, shape, and position of ITPs and warp and weft pitches showing significant correlation. These findings underscore the importance of the new homogeneity parameters in textile structure analysis, including both IAR and IER woven fabric structure homogeneity parameters. The research aims to model specialized fabrics (e.g., barrier, filtration, composite fabrics) to address local changes in fabric structure affecting properties such as filtration efficiency, air permeability, and mechanical properties, especially in applications like composites or medical implants. Full article
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<p>The weaving notation of weave structural modules (SMS) and their inter-thread spaces in the fabric [<a href="#B14-materials-17-03229" class="html-bibr">14</a>].</p>
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<p>Graphical visualization of the fabric weave repeat (e.g., R1) and collection of the repeats (R1–R6) separated in the image.</p>
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<p>Plain weave repeat: (<b>a</b>) classic repeat R1, (<b>b</b>) repeat R1 for homogeneity analysis, (<b>c</b>) weave structural modulus SMS1 type in the repeat R1 for analysis, where R1 (red square)—a repeat of weave; P<sub>wa</sub>, P<sub>we</sub> (green and blue arrow)—warp, weft pitches; ITP1d, ITP2, ITP3d, ITP4 (different colored squares)—ITPs in the repeats; SMS1_d, SMS1_2, SMS1_3d, SMS1_4—SMS1 modulus types in the repeat R1; and grey lines with circles—warp, weft threads with warp and weft overlaps.</p>
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<p>The graphical visualization for calculating the IAR inhomogeneity, where n represents the number of analyzed repeats with the structural modules SMS1{1d, 2, 3d, 4}.</p>
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<p>The graphical visualization for calculating the inter-repeat inhomogeneity (IER), where 4 represents the number of structural modules SMS1{1d, 2, 3d, 4} in the plain weave fabric repeat.In this research, ITP refers to the inter-thread porosity, encompassing the hairiness of the thread. ITP represents the spaces or gaps between adjacent threads, such as warp and weft threads, in the woven structure. These pores are formed during the weaving process as threads interlace to create the fabric. The size, shape, and location of ITPs can vary based on factors like the weave pattern, thread density, and weaving parameters such as tension.</p>
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<p>Illustration of the parameters essential for fabric structure homogeneity: (<b>a</b>) ITP size: A: area, W: height, S: width; ITP shape: Dmax: maximum area diameter, Dmin: minimum area diameter, L: area perimeter; (<b>b</b>) ITP location: 16, 9: consecutive ITP numbers, A<sub>IDE</sub>: ideal area (in the average grid), D<sub>IDE</sub>: diameter of ideal area (in the average grid), C[i,j]: centre of gravity of the ITP; (<b>c</b>) the thread pitches: P<sub>wa</sub>, P<sub>we</sub>: warp and weft pitches [<a href="#B17-materials-17-03229" class="html-bibr">17</a>].</p>
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<p>Images of theoretical fabric models differentiated by the size, shape, and location of artificial ITPs.</p>
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<p>Images of three characteristic structures of plain cotton fabrics with different groupings of warp threads, representing a group of 30 fabrics produced on a laboratory loom by varying loom settings.</p>
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<p>The image analysis of the optimal algorithm of tested fabrics with plain weaves focusing on the ITP: (<b>a</b>) the picture after the acquisition, (<b>b</b>) low-pass filtering, (<b>c</b>) histogram equalization, (<b>d</b>) non-linear filtration (x<sup>2</sup>), (<b>e</b>) image negative, (<b>f</b>) thresholding operation with the auto threshold set by copyright procedure, (<b>g</b>) closing operation, (<b>h</b>) opening operation, and (<b>i</b>) cluster analysis automatically set by copyright procedure for segmentation recognition and the classification and interpretation of ITPs [<a href="#B18-materials-17-03229" class="html-bibr">18</a>].</p>
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<p>Results of the analysis of artificial image models for verification of IER inhomogeneity parameters: (<b>a</b>) “elements” method, and (<b>b</b>) “average” method.</p>
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<p>Results of the analysis of artificial image models for verification of IER inhomogeneity parameters: (<b>a</b>) “elements” method, and (<b>b</b>) “average” method.</p>
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<p>The results of the analysis of artificial image models for verification of IAR inhomogeneity parameters.</p>
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<p>Results of verification of the IAR (<math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">A</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> </mrow> </semantics></math>) and IER (<math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">E</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> </mrow> </semantics></math>) inhomogeneity in artificial images, where: green color—M_14 with the best homogeneity results (low level of <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">A</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>1.75</mn> <mi mathvariant="normal">%</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">E</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>1.69</mn> <mi mathvariant="normal">%</mi> </mrow> </semantics></math>); red color—M_17 with the worst homogeneity result (high level of <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">A</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>19.17</mn> <mi mathvariant="normal">%</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">E</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>19.59</mn> <mi mathvariant="normal">%</mi> </mrow> </semantics></math>); yelow color—M_112 with disturbed homogeneity (high level of <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">A</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>22.99</mn> <mi mathvariant="normal">%</mi> </mrow> </semantics></math> and low level <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">E</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>3.63</mn> <mi mathvariant="normal">%</mi> </mrow> </semantics></math>).</p>
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<p>Results of IAR <math display="inline"><semantics> <mrow> <mo>(</mo> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">A</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>)</mo> </mrow> </semantics></math> and IER (<math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">E</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>)</mo> </mrow> </semantics></math> inhomogeneity on the graph for all fabrics, and results of verification of (AirF) [mm/s] airflow for all plain fabrics, where: green color—P_5 fabric with the best homogeneity results (low level of <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">A</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>26.74</mn> <mi mathvariant="normal">%</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">E</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>24.91</mn> <mi mathvariant="normal">%</mi> </mrow> </semantics></math>, AirF = 383.73 mm/s); red color—P_12 fabric with the worst homogeneity result (high level of <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">A</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>47.13</mn> <mi mathvariant="normal">%</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">E</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>45.20</mn> <mi mathvariant="normal">%</mi> <mo>,</mo> <mi mathvariant="normal">A</mi> <mi mathvariant="normal">i</mi> <mi mathvariant="normal">r</mi> <mi mathvariant="normal">F</mi> <mo>=</mo> <mn>620.91</mn> <mo> </mo> <mi mathvariant="normal">m</mi> <mi mathvariant="normal">m</mi> <mo>/</mo> <mi mathvariant="normal">s</mi> </mrow> </semantics></math>); yelow color—P_20 fabric with disturbed homogeneity (high level of <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">A</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>36.40</mn> <mi mathvariant="normal">%</mi> </mrow> </semantics></math> and low level <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi mathvariant="normal">V</mi> </mrow> <mo stretchy="false">¯</mo> </mover> </mrow> <mrow> <mi mathvariant="normal">I</mi> <mi mathvariant="normal">E</mi> <mi mathvariant="normal">R</mi> </mrow> </msub> <mo>=</mo> <mn>24.52</mn> <mi mathvariant="normal">%</mi> <mo>,</mo> </mrow> </semantics></math> AirF = 510.73 mm/s).</p>
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<p>Images of three characteristic plain fabrics after image analysis: P_5 with the best homogeneity (green color), P_12 with the worst homogeneity (red color), and P_20 with the best IER homogeneity but the worst IAR homogeneity (yelow color).</p>
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<p>After image analysis, the pore size distribution for three characteristic plain fabrics: P_5, P_12, P_20.</p>
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20 pages, 57487 KiB  
Article
Impact Performance of 3D Orthogonal Woven Composites: A Finite Element Study on Structural Parameters
by Wang Xu, Mohammed Zikry and Abdel-Fattah M. Seyam
J. Compos. Sci. 2024, 8(6), 193; https://doi.org/10.3390/jcs8060193 - 21 May 2024
Cited by 2 | Viewed by 1221
Abstract
This study uses the finite element method (FEM) to investigate the effect of key structural parameters on the impact resistance of E-glass 3D orthogonal woven (3DOW) composites subjected to low-velocity impact. These structural parameters include the number of y-yarn layers, the path of [...] Read more.
This study uses the finite element method (FEM) to investigate the effect of key structural parameters on the impact resistance of E-glass 3D orthogonal woven (3DOW) composites subjected to low-velocity impact. These structural parameters include the number of y-yarn layers, the path of the binder yarn (z-yarn), and the density of the x-yarn. Using ABAQUS, yarn-level finite element (FE) models are created based on the measured geometrical parameters and validated for energy absorption and damage behavior from experimental data gathered from the previous study. The results from finite element analysis (FEA) indicate that the x-yarn density and the binder path substantially influenced the composites’ damage behavior and impact performance. Increasing x-yarn density in 3DOW leads to a 15% increase in energy absorption compared to models with reduced x-yarn densities. Moreover, as the x-yarn density increases, crack lengths at the back face of the resin matrix decrease in the y-yarn direction but increase in the x-yarn direction. The basket weave structure absorbs less energy than plain and 2 × 1 twill structures due to the less constrained weft primary yarns. These results underscore the importance of these structural parameters in optimizing 3DOW composite for better impact performance, providing valuable insights for the design of advanced composite structures. Full article
(This article belongs to the Special Issue Characterization and Modelling of Composites, Volume III)
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<p>Finite element model of 3DOW composite.</p>
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<p>Mesh sensitivity study for 3DOW composite.</p>
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<p>Logic Flow of deformation, damage initiation, damage progression, and element deletion in VUMAT.</p>
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<p>Experimental and numerical load–time curve comparison for (<b>a</b>) 2L487, (<b>b</b>) 2L545, and (<b>c</b>) 2L587.</p>
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<p>Experimental and numerical load–time curve comparison for (<b>a</b>) 2LTwill and (<b>b</b>) 2LBasket.</p>
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<p>Energy absorption comparison from finite element analysis in 2-, 3-, and 4-layer 3DOW with varying x-yarn densities.</p>
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<p>Internal energy absorption in primary and secondary yarns of (<b>a</b>) 2-layer, (<b>b</b>) 3-layer, and (<b>c</b>) 4-layer 3DOW.</p>
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<p>Damage contour of 2-layer 3DOW under 4.4 m/s impact at t = 1 ms: (<b>a</b>) face fiber compressive damage for 2L487; (<b>b</b>) back fiber tensile damage for 2L487; (<b>c</b>) face fiber compressive damage for 2L545; (<b>d</b>) back fiber tensile damage for 2L545; (<b>e</b>) face fiber compressive damage for 2L587; (<b>f</b>) back fiber tensile damage for 2L587.</p>
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<p>Damage propagation on back face of resin matrix for (<b>a</b>) 2L487, (<b>b</b>) 2L545, and (<b>c</b>) 2L587.</p>
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<p>(<b>a</b>) Internal energy absorption of 2-layer 3DOW with different binder yarn paths, (<b>b</b>) internal energy distribution in primary and secondary yarns of 3DOW.</p>
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<p>Yarn breakage locations in (<b>a</b>) 2LPlain, (<b>b</b>) 2LTwill, and (<b>c</b>) 2LBasket.</p>
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<p>Damage propagation on back face of resin matrix for (<b>a</b>) 2LPlain, (<b>b</b>) 2LTwill, and (<b>c</b>) 2LBasket.</p>
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27 pages, 22078 KiB  
Article
Numerical Study of the Influence of the Structural Parameters on the Stress Dissipation of 3D Orthogonal Woven Composites under Low-Velocity Impact
by Wang Xu, Mohammed Zikry and Abdel-Fattah M. Seyam
Technologies 2024, 12(4), 49; https://doi.org/10.3390/technologies12040049 - 5 Apr 2024
Cited by 1 | Viewed by 2076
Abstract
This study investigates the effects of the number of layers, x-yarn (weft) density, and z-yarn (binder) path on the mechanical behavior of E-glass 3D orthogonal woven (3DOW) composites during low-velocity impacts. Meso-level finite element (FE) models were developed and validated for 3DOW composites [...] Read more.
This study investigates the effects of the number of layers, x-yarn (weft) density, and z-yarn (binder) path on the mechanical behavior of E-glass 3D orthogonal woven (3DOW) composites during low-velocity impacts. Meso-level finite element (FE) models were developed and validated for 3DOW composites with different yarn densities and z-yarn paths, providing analyses of stress distribution within reinforcement fibers and matrix, energy absorption, and failure time. Our findings revealed that lower x-yarn densities led to accumulations of stress concentrations. Furthermore, changing the z-yarn path, such as transitioning from plain weaves to twill or basket weaves had a noticeable impact on stress distributions. The research highlights the significance of designing more resilient 3DOW composites for impact applications by choosing appropriate parameters in weaving composite designs. Full article
(This article belongs to the Section Innovations in Materials Processing)
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<p>Schematic view of different z-yarn configurations. (the x-yarn is depicted in blue, the z-yarn is shown in green, and the y-yarn is represented in red).</p>
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<p>Establishment of the FE model of E-glass 3D orthogonal woven composite.</p>
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<p>Y-yarn cross sections of 2L487 plain weave 3DOW composite [<a href="#B36-technologies-12-00049" class="html-bibr">36</a>].</p>
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<p>The algorithm logic about the deformation, damage, failure, and deletion of the elements.</p>
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<p>Setup of FE model of E-glass 3DOW composites. (<b>a</b>) The boundary conditions and initial conditions; (<b>b</b>) study of mesh sensitivity.</p>
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<p>Comparison of energy absorption from simulation and experiment of 3DOW woven composites.</p>
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<p>Experimental and numerical load-time curve comparison for (<b>a</b>) 2L487, (<b>b</b>) 2L545, and (<b>c</b>) 2L587.</p>
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<p>Stress dissipation at the top and back of 2-layer 3DOW with different x-yarn densities. (y and z-yarn along the y-axis, and x-yarn along the x-axis).</p>
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<p>Stress dissipation at top and back of 3-layer 3DOW with different x-yarn densities.</p>
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<p>Stress dissipation at the top and back of 4-layer 3DOW with different x-yarn densities.</p>
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<p>The von Mises stress distribution along centered x-yarn at the bottom layer in (<b>a</b>) 2-layer models, (<b>b</b>) 3-layer models, (<b>c</b>) 4-layer models.</p>
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<p>In-plane stress distribution in 2-layer 3DOW at 0.15 and 0.45 ms.</p>
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<p>In-plane stress distribution in 3- and 4-layer 3DOW at different times.</p>
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<p>Stress distribution in 2-layer 3DOW with different x-yarn density. (<b>a</b>) Stress contour and (<b>b</b>) stressed area at different moments.</p>
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<p>Stress distribution in 3-layer 3DOW with different x-yarn density. (<b>a</b>) Stress contour and (<b>b</b>) stressed area at different moments.</p>
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<p>Stress distribution in 4-layer 3DOW with different x-yarn density. (<b>a</b>) Stress contour and (<b>b</b>) stressed area at different moments.</p>
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<p>The von Mises stress distribution along the centered x-yarn at the bottom layer: (<b>a</b>) with 4.87 picks/cm, (<b>b</b>) 5.45 picks/cm, and (<b>c</b>) 5.87 picks/cm.</p>
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<p>Stress dissipation at the top and back of 2-layer 3DOW with different z-yarn paths.</p>
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<p>Von Mises stress distribution along centered x-yarns under impact at (<b>a</b>) top surface and (<b>b</b>) bottom surface.</p>
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<p>In-plane stress distribution in 2-layer 3DOW with different z-yarn paths.</p>
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<p>Stress distribution in 2-layer 3DOW with different z-yarn paths. (<b>a</b>) Stress contour and (<b>b</b>) stressed area at different moments.</p>
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18 pages, 8768 KiB  
Article
The Tensile Behavior of Hybrid Bonded Bolted Composite Joints: 3D-Digital Image Correlation versus Finite Element Analysis
by Raphael Blier, Leila Monajati, Masoud Mehrabian and Rachid Boukhili
Materials 2024, 17(7), 1675; https://doi.org/10.3390/ma17071675 - 5 Apr 2024
Cited by 2 | Viewed by 1644
Abstract
This study examines the behavior of hybrid bolted/bonded (HBB) joints loaded in tensile shear comprising plain weave carbon/epoxy laminates in quasi-isotropic (QI) and cross-ply (CP) layups. It proposes a combined approach of 3D digital image correlation and finite element analysis (FEA) to assess [...] Read more.
This study examines the behavior of hybrid bolted/bonded (HBB) joints loaded in tensile shear comprising plain weave carbon/epoxy laminates in quasi-isotropic (QI) and cross-ply (CP) layups. It proposes a combined approach of 3D digital image correlation and finite element analysis (FEA) to assess their behavior. To apply the FEA simulation accurately, a single layer of plain fabric was replaced with [0/90]s lamination. Experimental standard open-hole tension test results, as well as only bolted (OB) and HBB, along with FEA predictions, confirmed the accuracy of the substitution method. The FEA, calibrated by experimental results, provides insight into the distinctive characteristics of HBB joints in comparison with bonded and bolted joints. Critical considerations include material properties, damage modeling, adhesive characteristics, and mass scaling. The FEA results underscored the pivotal role of adhesives in HBB joints, rendering them akin solely to bonded configurations. HBB joints retain their geometry better than OB joints with considerably less out-of-plane displacement, following a sinusoidal trend. Moreover, the overall behavior of the two layups demonstrates that CP benefits from having higher strength than QI, especially at the critical hole located closer to the grip side. Full article
(This article belongs to the Special Issue Finite Element Modeling of Microstructures in Composite Materials)
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<p>Specimen geometry and dimensions in mm for (<b>a</b>) OHT and (<b>b</b>) OB and HBB SL joints.</p>
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<p>Specimen geometry and dimensions in mm for (<b>a</b>) OHT and (<b>b</b>) OB and HBB SL joints.</p>
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<p>Woven ply simplification.</p>
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<p>Damage initiation failure flow chart.</p>
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<p>Araldite<sup>®</sup> LY 8601/Aradur<sup>®</sup> 8602 epoxy system uniaxial tensile stress–strain curve.</p>
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<p>Linear traction separation cohesive zone model.</p>
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<p>Strain field in the loading direction ϵ<sub>xx</sub> at 25% of ultimate load for OHT CP12 and QI12 laminates comparing FEA with 3D-DIC results [<a href="#B14-materials-17-01675" class="html-bibr">14</a>].</p>
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<p>Nominal stress–displacement curves for OB and HBB Joints, case of CP layup.</p>
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<p>Nominal stress–displacement curves for OB and HBB Joints, case of QI layup.</p>
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<p>Longitudinal strain field for the CPlayup away from the washer; comparison between 3D-DIC results [<a href="#B1-materials-17-01675" class="html-bibr">1</a>] and simulation.</p>
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<p>Longitudinal strain field for the QI layup away from the washer; comparison between 3D-DIC results [<a href="#B1-materials-17-01675" class="html-bibr">1</a>] and simulation.</p>
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<p>Load–displacement curves for QI12 and CP12 layups.</p>
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<p>Comparison of stresses in the adhesive layer for QI12 and CP12 HBB joints.</p>
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<p>Comparison of the out-of-plane displacement for QI12 and CP12 HBB joints.</p>
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<p>OPD for different joining methods using CP12 at various load levels.</p>
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<p>Scaled OPD of OB and HBB joints at 8 KN, case of CP12 layup.</p>
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<p>Longitudinal strain field comparison using simulation depending on the joint configuration, case of CP layup.</p>
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<p>Longitudinal strain field comparison using simulation depending on the joint configuration, case of QI layup.</p>
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17 pages, 3274 KiB  
Article
Effect of Weave and Weft Type on Mechanical and Comfort Properties of Hemp–Linen Fabrics
by Simona Vasile, Sofie Vermeire, Katrien Vandepitte, Veronique Troch and Alexandra De Raeve
Materials 2024, 17(7), 1650; https://doi.org/10.3390/ma17071650 - 3 Apr 2024
Cited by 2 | Viewed by 1657
Abstract
In this study the influence of fabric weave (plain, twill, and panama) and weft type (flax and hemp yarns) on selected mechanical and comfort properties of six fabrics was analyzed. The results showed that tear and abrasion properties were most affected by the [...] Read more.
In this study the influence of fabric weave (plain, twill, and panama) and weft type (flax and hemp yarns) on selected mechanical and comfort properties of six fabrics was analyzed. The results showed that tear and abrasion properties were most affected by the weave. The tensile properties of the linen fabrics were not significantly different when weft hemp yarns were used instead of flax. Fabrics with the same weave seemed to be equally resilient to abrasion regardless of the type of weft. By contrast, the hemp weft yarns favorized the physical and comfort properties of the investigated fabrics. For the same weave, the hemp–linen fabrics were slightly lighter and exhibited lower bulk density, significantly larger air permeability, and improved moisture management properties. Although the results of maximum thermal flux (Qmax) suggested a cooler sensation of the linen fabrics with panama and twill, the hemp–linen fabric with a plain weave seemed to be the optimal choice when a cool sensation was desired. Higher thermal conductivity values also suggested slightly better heat transfer properties of the hemp–linen fabrics, and these were significantly influenced by the weave type. The results clearly indicated the advantages of using hemp for improving physical and specific comfort properties of linen fabrics. Full article
(This article belongs to the Section Advanced Composites)
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<p>Digital images (magnification ×15) of fabric HEMP PLAIN (<b>a</b>), HEMP PAN (<b>b</b>), HEMP TWILL (<b>c</b>), FLAX PLAIN (<b>d</b>), FLAX PAN (<b>e</b>), and FLAX TWILL (<b>f</b>).</p>
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<p>Influence of weave and weft type on load at break of the hemp blended (<b>left</b>) and flax (<b>right</b>) fabrics.</p>
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<p>Influence of weave and weft type on elongation at break of the hemp-blended (<b>left</b>) and flax (<b>right</b>) fabrics.</p>
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<p>Bending strength of the fabrics in the warp and weft directions.</p>
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<p>Tear force of the hemp-blended (<b>left</b>) and flax (<b>right</b>) fabrics with various weaves.</p>
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<p>Air permeability and bulk density of the six fabrics.</p>
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<p>Air permeability and porosity of the six fabrics.</p>
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<p>Maximum thermal flux Qmax of the six fabrics.</p>
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<p>Thermal conductivity of the six fabrics.</p>
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14 pages, 10234 KiB  
Article
Yarn Angle Detection of Glass Fiber Plain Weave Fabric Based on Machine Vision
by Jiatong Hou, Tao Wang, Jiazhong Xu and Moran Cao
Appl. Sci. 2024, 14(7), 2937; https://doi.org/10.3390/app14072937 - 30 Mar 2024
Cited by 1 | Viewed by 995
Abstract
To address the issue of low accuracy in the yarn angle detection of glass fiber plain weave fabrics, which significantly impacts the quality and performance of the final products, a machine vision-based method for the yarn angle detection of glass fiber fabrics is [...] Read more.
To address the issue of low accuracy in the yarn angle detection of glass fiber plain weave fabrics, which significantly impacts the quality and performance of the final products, a machine vision-based method for the yarn angle detection of glass fiber fabrics is proposed. The method involves pre-processing the image with brightness calculation, threshold segmentation, and skeleton extraction to identify the feature region. Line segment detection is then performed on this region, using the Hough transform. The concept of a “line segment evaluation index” is introduced, and it was used as a criterion for assessing the quality and relevance of detected line segments. Moreover, the warp and weft yarn extrusion area contours refer to the reconstructed outlines of yarn areas, achieved by combining the center of mass extraction with morphological operations and used to accurately determine the yarn angle. Tested under a range of challenging scenarios, including varied lighting conditions, fabric densities, and levels of image noise, this method has demonstrated robust stability and maintained high accuracy. These tests mimic real-world manufacturing environments, where factors such as ambient light changes and material inconsistencies can affect the quality of image capture and analysis. The proposed method has high accuracy, as shown by MSE and a Pearson’s r of 0.931. By successfully navigating these complexities, the proposed machine vision-based approach offers a significant enhancement in the precision of yarn angle detection for glass fiber fabric manufacturing, thus ensuring improved quality and performance of the final products. Full article
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<p>Image acquisition system.</p>
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<p>Feature regions and light spots.</p>
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<p>Preprocessing stage: (<b>a</b>) initial image; (<b>b</b>) grayscale image; and (<b>c</b>) Otsu Threshold Segmentation image.</p>
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<p>Skeleton extraction.</p>
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<p>Parameters of a straight line.</p>
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<p>Hough transform detection of line segments.</p>
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<p>Image parameters and extension lines: (<b>a</b>) description of image parameters and (<b>b</b>) six cases of intersection of the image edge and the extension line.</p>
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<p>Threshold segmentation and center of mass extraction: (<b>a</b>) the result after threshold segmentation and (<b>b</b>) results of the center of mass extraction.</p>
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<p>The connection between centers of mass.</p>
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<p>The correct connections between the centers of mass.</p>
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<p>Manual angle detection.</p>
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<p>Three different angles of glass fiber plain weave fabric: (<b>a</b>) Sample 1; (<b>b</b>) Sample 2; and (<b>c</b>) Sample 3.</p>
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<p>Machine vision-based inspection results: (<b>a</b>) Result 1; (<b>b</b>) Result 2; and (<b>c</b>) Result 3.</p>
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<p>Absolute error.</p>
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<p>Relative error.</p>
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<p>Explaining low <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>C</mi> </mrow> <mrow> <mi>L</mi> </mrow> </msub> </mrow> </semantics></math> with binary images: (<b>a</b>) initial grayscale image; (<b>b</b>) grayscale image detection line segment; and (<b>c</b>) binary image detection line segment.</p>
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<p>Contour reconstruction: (<b>a</b>) four grayscale images and (<b>b</b>) contour reconstruction.</p>
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<p>Contour reconstruction: (<b>a</b>) four grayscale images and (<b>b</b>) contour reconstruction.</p>
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16 pages, 6505 KiB  
Article
Interfacial Enhancement and Composite Manufacturing of Continuous Carbon-Fiber-Reinforced PA6T Composites via PrePA6T Ultrafine Powder
by Jiahong Yao, Zhao Wang, Jiacao Yang, Xiaojun Wang and Jie Yang
Materials 2024, 17(7), 1557; https://doi.org/10.3390/ma17071557 - 28 Mar 2024
Cited by 1 | Viewed by 1252
Abstract
Semi-aromatic poly (hexamethylene terephthalamide) (PA6T) oligomer (prePA6T) ultrafine powder, with a diameter of <5 μm, was prepared as an emulsion sizing agent to improve the impregnation performance of CF/PA6T composites. The prePA6T hyperfine powder was acquired via the dissolution and precipitation “phase conversion” [...] Read more.
Semi-aromatic poly (hexamethylene terephthalamide) (PA6T) oligomer (prePA6T) ultrafine powder, with a diameter of <5 μm, was prepared as an emulsion sizing agent to improve the impregnation performance of CF/PA6T composites. The prePA6T hyperfine powder was acquired via the dissolution and precipitation “phase conversion” method, and the prePA6T emulsion sizing agent was acquired to continuously coat the CF bundle. The sized CF unidirectional tape was knitted into a fabric using the plain weave method, while the CF/PA6T laminated composites were obtained by laminating the plain weave fabrics with PA6T films. The interfacial shear strength (IFSS), tensile strength (TS), and interlaminar shear strength (ILSS) of prePA6T-modified CF/PA6T composites improved by 54.9%, 125.3%, and 120.9%, respectively. Compared with the commercial polyamide sizing agent product PA845H, the prePA6T sizing agent showed better interfacial properties at elevated temperatures, especially no TS loss at 75 °C. The SEM observations also indicated that the prePA6T emulsion has an excellent impregnation effect on CF, and the fracture mechanism shifted from adhesive failure mode to cohesive failure mode. In summary, a facile, heat-resistant, undamaged-to-fiber environmental coating process is proposed to continuously manufacture high-performance thermoplastic composites, which is quite promising in mass production. Full article
(This article belongs to the Special Issue Advanced Manufacturing Technologies of Thermoplastic Composites)
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<p>Schematic of single carbon fiber coating process.</p>
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<p>Schematic of continuous carbon fiber coating and CF/PA6T composite preparation.</p>
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<p>Fiber morphology with different concentrations of PA6T oligomer solution coated.</p>
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<p>The intrinsic viscosity (<b>a</b>) and surface morphology (<b>b</b>) of PA6T coating with different polymerization times, and the IFSS of CF/PA6T composites with different polymerization times (<b>c</b>) and different concentrations of PA6T oligomer coating (<b>d</b>).</p>
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<p>Fiber morphology after debonding with different concentrations of PA6T oligomer coated: (<b>a</b>) pristine CF; (<b>b</b>) magnification of highlighted part of (<b>a</b>) pristine CF; (<b>c</b>) CF-10-10 min; (<b>d</b>) CF-20-10 min.</p>
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<p>The TGA curves of PA6T oligomer solution-coated CF (<b>a</b>); the IFSS comparison between PA6T oligomer- and PA845H-coated CF/PA6T composites under elevated testing temperatures (<b>b</b>).</p>
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<p>The oligomer particle size and distribution obtained via phase separation of PA6T oligomer solution by (<b>a</b>) non–solvent precipitation in deionized water (<b>b</b>) and non–solvent precipitation in ethanol; (<b>c</b>) rapid cooling precipitation in NMP; (<b>d</b>) sonication in NMP.</p>
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<p>The CF bundle morphology with different concentrations of PA6T oligomer coated: (<b>a</b>) pristine CF; (<b>b</b>) CF-1′-10 min; (<b>c</b>) CF-2′-10 min; (<b>d</b>) CF-5′-10 min; (<b>e</b>) CF-10′-10 min; (<b>f</b>) PA845H (higher magnification images were marked with red box).</p>
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<p>(<b>a</b>) The tensile strength of CF/PA6T composites with different concentrations of PA6T oligomer modification; (<b>b</b>) the tensile strength of CF/PA6T composites with different polymerization times of PA6T oligomer coating.</p>
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<p>The fracture morphology of CF/PA6T composites: (<b>a</b>) pristine CF; (<b>b</b>) CF-5′-10 min; (<b>c</b>) CF-10′-10 min; (<b>d</b>) PA845H (higher magnification images were marked with red box).</p>
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<p>The tensile strength of CF/PA6T composites under elevated testing temperatures.</p>
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<p>The interlaminar shear property of CF/PA6T composites: (<b>a</b>) force–displacement curve; the ILSS of composites with different (<b>b</b>) coating concentrations and (<b>c</b>) polymerization times.</p>
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<p>The interlaminar fracture (crack propagation) morphology of composites (the observation spot was marked with red box).</p>
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13 pages, 5565 KiB  
Article
The Influence of Textile Type, Textile Weight, and Detergent Dosage on Microfiber Emissions from Top-Loading Washing Machines
by Pongsiri Julapong, Palot Srichonphaisarn, Thidarat Meekoch, Carlito Baltazar Tabelin, Onchanok Juntarasakul and Theerayut Phengsaart
Toxics 2024, 12(3), 210; https://doi.org/10.3390/toxics12030210 - 12 Mar 2024
Cited by 9 | Viewed by 2787
Abstract
The use of washing machines to wash textiles gradually breaks down synthetic fibers like polyethylene terephthalate (PET) or polyester (PES) in diverse clothing materials, a process that is growing in notoriety because it generates microplastics (MPs). In this study, we investigated the emission [...] Read more.
The use of washing machines to wash textiles gradually breaks down synthetic fibers like polyethylene terephthalate (PET) or polyester (PES) in diverse clothing materials, a process that is growing in notoriety because it generates microplastics (MPs). In this study, we investigated the emission of microfibers, including both microplastic fibers (MPFs) and natural fibers (MFs), from top-loading washing machines. Our investigation focused on four popular textiles with prevalent weave structures (plain, satin, and twill): (i) PES, (ii) tetron cotton (TC), (iii) chief value cotton (CVC), and (iv) cotton (CO) fabrics. This study also examined the effects of textile weight and detergent dosage on MF emissions. After washing, MFs were collected through filtration, and their concentrations were determined using micro-Fourier Transform Interferometry (μFTIR). The results showed varying concentrations of MFs in the washing effluent depending on the type of textile. Specifically, CVC exhibited the highest emission at 4022 particles/L, followed by TC, PES, and CO at 2844 particles/L, 2382 particles/L, and 2279 particles/L, respectively. The hydrophobic nature of PES makes this type of textile prone to rapid degradation in detergent-rich environments, leading to high MF emissions. Additionally, the mechanical properties of textiles, such as tensile and bending strengths, may play a crucial role in the generation of MFs in washing machines. Textiles made of CO with twill weaves demonstrated superior strength and correlated with lower emissions of MFs. In comparison, textiles made of CVC and satin weave exhibited lower mechanical properties, which could explain their high emissions of MFs. Finally, the MF emissions of textiles composed of PES and TC, which are plain weaved, could be attributed to their intermediate mechanical properties compared with those of CVC and CO. Full article
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<p>A schematic diagram of the experimental procedures used in this study.</p>
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<p>Parameters in the washing experiments of four types of textiles.</p>
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<p>A schematic diagram illustrates how MFs were quantified using a microscope.</p>
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<p>Microfiber emissions as a function of textile weight and detergent dosage: (<b>a-1</b>) MF emissions on textile weight in different detergent dosage, (<b>a-2</b>) arithmetic mean of all parameters that are equal in textile weight, (<b>b-1</b>) MF emissions on detergent dosage in different textile weight, and (<b>b-2</b>) arithmetic mean of all parameters that are equal in detergent dosage.</p>
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<p>Microfiber emissions as a function of textile type during laundry cleaning in washing machines.</p>
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<p>SEM photomicrographs taken at 15 kV (50× magnification) of the four textile types: (<b>a</b>) 100% CO; (<b>b</b>) CVC; (<b>c</b>) TC; (<b>d</b>) 100% PES.</p>
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<p>Schematic illustrations of the three common woven structures: (<b>a</b>) plain weave, (<b>b</b>) twill weave, and (<b>c</b>) satin weave.</p>
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22 pages, 12402 KiB  
Article
Tannins as Biobased Molecules for Surface Treatments of Flax Wrapped Rovings for Epoxy/Flax Fabrics Biocomposites: Influence on Mechanical Properties through a Multi-Scale Approach
by Khouloud Tilouche-Guerdelli, Clément Lacoste, Didier Perrin, Pierre-Jacques Liotier, Pierre Ouagne, Jacopo Tirillò, Fabrizio Sarasini and Anne Bergeret
J. Compos. Sci. 2024, 8(2), 75; https://doi.org/10.3390/jcs8020075 - 13 Feb 2024
Viewed by 2089
Abstract
The present study examined the effect of biobased molecules grafted onto wrapped flax rovings on the mechanical properties of fabrics designed for epoxy-based biocomposites, aiming to optimize fiber/matrix adhesion. Biobased solutions, such as tannins from quebracho, were used to treat wrapped flax rovings [...] Read more.
The present study examined the effect of biobased molecules grafted onto wrapped flax rovings on the mechanical properties of fabrics designed for epoxy-based biocomposites, aiming to optimize fiber/matrix adhesion. Biobased solutions, such as tannins from quebracho, were used to treat wrapped flax rovings in comparison to a non-biobased aminosilane solution used as a reference. The chemical treatment is performed using an innovative lab-scale impregnation line. The influence of the solution concentration has been investigated. SEM-EDX and FT-IR confirmed the grafting efficiency of molecules on wrapped rovings. Plain and 5-harness satin fabrics were then manufactured at lab scale with the resulting functionalized rovings. Tensile tests were carried out on rovings and on fabrics. A concentration of 1% silane is sufficient to improve the mechanical properties of rovings and fabrics. The addition of NaOH to tannins strengthens flax fiber rovings more than tannins alone, and the weave pattern influences mechanical performance. Full article
(This article belongs to the Special Issue Sustainable Biocomposites, Volume II)
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<p>Structure of a cotton-wrapped flax roving as used in this study.</p>
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<p>Chemical composition of (<b>a</b>) 3-aminopropyltriethoxysilane (APTES), (<b>b</b>) Quebracho tannin (Q).</p>
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<p>Impregnation line used for wrapped flax roving grafting: roving bobbin ①, pressure sensor ②, mounting ③, impregnation bath ④, infrared oven ⑤, bobbin winder ⑥.</p>
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<p>The different types of assembly possible on the impregnation line.</p>
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<p>Shuttle manual loom machine.</p>
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<p>(<b>a</b>) FTIR-ATR spectrum of rovings treated with APTES at different concentrations, (<b>b</b>) Ratio between the intensity of the FT-IR bonds located around 1564 cm<sup>−1</sup> and 1203 cm<sup>−1</sup> of untreated and APTES (1 and 5 wt.%) treated wrapped flax rovings.</p>
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<p>SEM-EDX cartography of silica localization onto APTES 1 wt.% (<b>a</b>) and 5 wt.% (<b>b</b>) treated wrapped flax rovings.</p>
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<p>Assumptions concerning the interfacial reactions between silane-treated flax-wrapped rovings and epoxy matrix.</p>
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<p>Potential grafting reactions of tannins on flax fibers surface (orange = esterification; green = hemiacetalization; blue = etherification).</p>
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<p>(<b>a</b>) FTIR-ATR spectrum of raw Q tannins compared to untreated rovings (UR) and rovings treated with 5 wt.% Q (TRQ5) or with 5 wt.% Q and 1 wt.% NaOH (TRQ5N1), (<b>b</b>) Ratio between the intensity of FT-IR bonds located around 1610, 1510 and 1420 cm<sup>−1</sup> and the intensity of the bonds located at 1203 cm<sup>−1</sup> considered as a reference of UR, TRQ5 and TRQ5N1.</p>
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<p>Assumptions concerning the interfacial reactions between quebracho tannin-treated flax-wrapped rovings and epoxy matrix.</p>
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<p>Tensile behavior of untreated and treated wrapped rovings at different gauge lengths: (<b>a</b>) 25 mm, (<b>b</b>) 50 mm, and (<b>c</b>) 100 mm (circles = median; diamonds = values).</p>
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<p>Illustration of the elementary fibers, and bundle fibers in wrapped flax roving.</p>
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<p>Tensile behavior of fabrics in the warp and weft directions of untreated and treated wrapped flax rovings: (<b>a</b>) Plain fabrics and (<b>b</b>) Satin fabrics (circles = median; diamonds = values).</p>
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<p>Areal weight of untreated and treated flax fabrics.</p>
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<p>Elongation at break of untreated fabrics (UP = Plain, US = Satin) in the warp and weft directions.</p>
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<p>Breaking tenacity of rovings before weaving (blue line), warp after weaving (purple line), and weft after weaving (green line) for (<b>a</b>) plain fabric and (<b>b</b>) satin fabric (circles = median; diamonds = values).</p>
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17 pages, 25575 KiB  
Article
Low-Velocity Impact and Post-Impact Residual Flexural Properties of Kevlar/EP Three-Dimensional Angle-Interlock Composites
by Juanjuan Shi, Yanwen Guo, Xiaomei Huang, Hongxia Chen and Haijian Cao
Materials 2024, 17(3), 681; https://doi.org/10.3390/ma17030681 - 31 Jan 2024
Cited by 1 | Viewed by 1064
Abstract
In this study, five three-dimensional angle-interlock fabrics with different warp and weft densities were fabricated using 1000D Kevlar filaments. The Kevlar/EP composites were prepared by vacuum-assisted molding techniques. The low-velocity impact property of the composite was tested, focusing on the effects of the [...] Read more.
In this study, five three-dimensional angle-interlock fabrics with different warp and weft densities were fabricated using 1000D Kevlar filaments. The Kevlar/EP composites were prepared by vacuum-assisted molding techniques. The low-velocity impact property of the composite was tested, focusing on the effects of the warp and weft densities, impact energy, impactor shape, and impactor diameter. The damage area, dent depth, and crack lengths in the warp and weft direction were used to evaluate the impact performance, and the specimens were compared with plain-weave composites with similar areal densities. The dominant failure mode of the conical impactor was fiber fracture, while the dominant failure mode of the hemispherical impactor was fiber–resin debonding. The cylindrical impactor showed only minor resin fragmentation. The residual flexural strength of the composite after impact was tested to provide insights into its mechanical properties. The study findings will provide a theoretical basis for the optimization of the design of impact-resistant structures using such materials and facilitate their engineering applications. Full article
(This article belongs to the Section Mechanics of Materials)
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<p>The 3DAI fabric weaving: (<b>a</b>) structural diagrams; (<b>b</b>) the SGA598 semi-auto sample loom; (<b>c</b>) the fabric surface of 30 × 30.</p>
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<p>Impactor shape.</p>
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<p>The damage morphology of single-ply 3DAI composites of 24 × 21 after impact.</p>
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<p>The effect of warp and weft density on impact force.</p>
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<p>The crack lengths of different fabric specifications (black dotted circle is warp crack length; white dotted circle is weft crack length).</p>
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<p>The crimp wave height and crimp percentage: (<b>a</b>) the crimp wave height; (<b>b</b>) diagram of warp crimp and straightened; (<b>c</b>) warp and weft crimp percentage of different fabric.</p>
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<p>The impact force–time curve of hemisphere impactor.</p>
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<p>The damage morphology and damage area.</p>
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<p>The effect of impactor on the impact force.</p>
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<p>The damage morphology after 9 J energy impact of different impactor shapes.</p>
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<p>The effect of impactor diameter on impact force.</p>
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<p>The effect of fabric structures on impact force: (<b>a</b>) impact force; (<b>b</b>) failure morphology of 3DAI and 2D.</p>
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<p>The flexural stress–strain curve before and after hemispherical impact. (<b>a</b>) 24 × 21 warp; (<b>b</b>) 24 × 21 weft; (<b>c</b>) 30 × 30 warp; (<b>d</b>) 30 × 30 weft.</p>
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<p>The flexural failure morphology before and after impact of different energy levels: (<b>a</b>) 24 × 21 warp; (<b>b</b>) 24 × 21 weft; (<b>c</b>) 30 × 30 warp; (<b>d</b>) 30 × 30 weft.</p>
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<p>The flexural failure morphology before and after impact of different energy levels: (<b>a</b>) 24 × 21 warp; (<b>b</b>) 24 × 21 weft; (<b>c</b>) 30 × 30 warp; (<b>d</b>) 30 × 30 weft.</p>
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<p>The effect of impactor shape on residual flexural properties after impact.</p>
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